Ganesh Ram

Full-stack developer with a background in data science, software engineering and semiconductor validation.

I hold an MSc in Microelectronics: Systems and Devices from Newcastle University, awarded with Distinction, and have worked across software development, data analysis, automation, machine learning and sensor validation. I am now looking to build experience in research, especially around responsible AI, data-driven decision-making and how technical systems are used in real organisations. I bring practical experience of building and analysing software/data systems, alongside an interest in understanding their wider impact, limitations and governance.

Full-Stack Developer at General Traffic (2025-01 – Present)

Lead software developer, using software to improve internal business processes and operational workflows.

• Build and maintain full-stack applications using technologies including Next.js and MySQL.
• Work with business users to understand practical problems and turn them into usable software tools.
• Develop internal systems, dashboards and process improvements to support day-to-day decision-making.
• Work across requirements, implementation, testing, deployment and ongoing maintenance.
• Use a pragmatic approach to software development, focusing on usefulness, maintainability and performance.
• This role has strengthened my interest in how digital systems influence organisational decisions and working practices.

Career Transition / Self-Directed Development (2024-03 – 2024-08)

A period of reflection and technical exploration after moving from semiconductor validation toward software and applied AI/data systems.

• Continued developing skills across Python, web systems, automation and applied AI.
• Explored longer-term interests in software engineering, research, responsible AI and data-driven systems.
• Used this period to clarify my direction and move into a more software-focused role.

Graduate Validation Engineer at Pragmatic (2023-10 – 2024-02)

Worked on sensor characterisation, wafer-level testing and automated validation in a semiconductor environment.

• Characterised sensors using probe-station testing and laboratory equipment.
• Used oscilloscopes, bench power supplies, digital multimeters, function generators and LCR meters.
• Analysed large volumes of test data using Python.
• Produced reports and visualisations to communicate engineering findings.
• Supported scripting and automation for full-wafer testing.
• Gained experience working with high-volume technical data, measurement reliability and evidence-based engineering decisions.

Data Science Intern at qZense Labs (2022-03 – 2022-05)

Worked on applied machine learning and product development.

• Built image classification models using machine learning and deep learning methods.
• Worked on feature engineering and data visualisation.
• Used AWS as part of product development workflows.
• Contributed to mobile app development using Flutter.
• Gained experience applying AI methods in a practical product environment.

Data Scientist at Motorola Solutions (2021-03 – 2022-02)

Worked on cloud and data-related software systems for platform and service integrations.

• Worked with AWS-based systems and REST API integrations.
• Supported data science and software workflows within a large technology organisation.
• Contributed to platform-level service integration and data-driven development work.
• Built early professional experience in cloud services, APIs and applied technical problem solving.

MSc in Microelectronics: Systems and Devices – Newcastle University (2022-09 – 2023-09)

Bachelor's Degree in Electrical and Electronics Engineering – Rajalakshmi Engineering College (2014-08 – 2018-05)